Making it happen!

Get started with the Whole System Change process and the NPDL Suite of Tools so that every student can access deep learning!

Deep Learning Competencies

Creativity

Having an ‘entrepreneurial eye’ for economic and social opportunities, asking the right inquiry questions to generate novel ideas, and leadership to pursue those ideas and turn them into action.

Communication

Communicating effectively with a variety of styles, modes, and tools (including digital tools), tailored for a range of audiences.

Citizenship

Thinking like global citizens, considering global issues based on a deep understanding of diverse values and worldviews, and with a genuine interest and ability to solve ambiguous and complex real‐world problems that impact human and environmental sustainability.

Critical Thinking

Critically evaluating information and arguments, seeing patterns and connections, constructing meaningful knowledge, and applying it in the real world.

Character

Learning to deep learn, armed with the essential character traits of grit, tenacity, perseverance, and resilience; and the ability to make learning an integral part of living.

Collaboration

Work interdependently and synergistically in teams with strong interpersonal and team‐related skills including effective management of team dynamics and challenges, making substantive decisions together, and learning from and contributing to the learning of others.

Shifting from Traditional to Deep Learning

Four elements propel a shift in practice from traditional to deep learning.

Visit the Enigma Portal to view the 6 C’s and the new pedagogies in action in Wooranna Park Public School, Victoria, Australia.

Six deep learning competencies define what it means to be a deep learner. Learning progressions for each of the 6 competencies add precision by specifying the dimensions of each competency. They are used to design and assess learning and to measure growth in the competency.

NPDL is learning alongside schools, families, and communities who are working as living laboratories to identify the pedagogical practices that are required for deep learning at every level of the system.

An evaluative monitoring system designed to shift practices, demonstrate and measure student performance and progression in the 6 Deep Learning Competencies, and to identify ways to improve school, cluster, and system conditions for Deep Learning.

Capacity Building

Capacity building is an essential process for developing the knowledge, skills and commitment at all levels of the system needed to shift practices from traditional schooling to deep learning.

Collaborative learning is a key driver to accelerate this shift. As people learn from the work together, greater clarity and shared purpose emerge. They feel supported and challenged to persist because they see results.

NPDL provides a capacity building system of tools, processes and rich resources that accelerate this shift in designing deep learning and creating conditions that accelerate change.

Deep learning will only happen on a transformational scale when the right conditions exist at the school, cluster and education system level. Learning Conditions Rubrics and processes help leaders to; assess their organizations; develop strategies to provide conditions that will propel deep learning at all levels; and evaluate progress.

New Measures

Deep Learning experiences are dramatically different from the traditional way that teaching and learning has been since the industrial age. When breaking this very new ground and bringing deep learning concepts to life, there were simply no existing assessment instruments that could adequately measure or provide clarity on student progress or performance in the Deep Learning Competencies.

To implement deep learning and the new pedagogies needed to bring it to life, we developed a series of concepts, capacity building resources, frameworks, learning labs, a digital platform, and a new measurement system, The Suite of Tools.

The Suite of Tools is an evaluative monitoring system designed to assess starting points, monitor progress and evaluate impact and progression of Deep Learning at all levels of the system. When combined they provide a structured and valid way of measuring and improving:

System conditions required for deep learning

Pedagogical practices needed to bring deep learning to life

How we assess and track Deep Learning Competencies in students

The Suite of Tools are designed to be implemented in any local context and can be seamlessly integrated with the required academic assessments in any country and system.

Contact us to learn more about how schools around the world are making this leap.